Applied AI Researcher
Core
Investigate AI methods for synthetic media detection, media forensics, and fraud prevention, then translate research into production software.
Role type
Applied AI Researcher (Computer Vision & Fraud Detection)
Builds
Production software for synthetic media detection and fraud prevention
Domain
Digital trust and security, Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
Deep learning model training, PyTorch, Computer vision (CNNs, vision transformers), Research paper reproduction, Experiment design, Model evaluation, Technical writing
Preferred skills
Synthetic media detection, Image/video forensics, Audio spoofing detection, Generative models, Adversarial robustness
Technologies
PyTorch, CNNs, Vision Transformers
Responsibilities
Investigate AI methods for synthetic media detection and fraud prevention; Read and reproduce research to assess approaches; Design experiments and establish baselines; Implement research ideas and collaborate with engineering; Analyze failure cases to improve model reliability and efficiency; Document methods and findings.
Seniority
Mid-Senior, hands-on IC
